CodeAnt AI home pagelight logodark logo
  • Dashboard
  • Dashboard
  • Documentation
  • Demo Call with CEO
  • Blog
  • Slack
  • Get Started
    • CodeAnt AI
    • Setup
    • Control Center
    • Pull Request Review
    • IDE
    • Compliance
    • Anti-Patterns
    • Code Governance
    • Infrastructure Security Database
    • Application Security Database
      • Apex
      • Bash
      • C
      • Clojure
      • Cpp
      • Csharp
      • Dockerfile
      • Elixir
      • Fingerprints
      • Generic
      • Go
      • Html
      • Java
      • Javascript
      • Json
      • Kotlin
      • Ocaml
      • Php
      • Problem-based-packs
      • Python
        • Airflow
        • Attr
        • Aws-lambda
        • Bokeh
        • Boto3
        • Cassandra
        • Click
        • Correctness
        • Couchbase
        • Cryptography
        • Distributed
        • Django
        • Docker
        • Elasticsearch
        • Fastapi
        • Flask
        • Jinja2
        • Jwt
        • Lang
          • Best practice
          • Code
          • Compatibility
          • Correctness
          • Correctness
          • Deserialization
          • File
          • Hardcoded
          • Maintainability
          • Os
          • Security
          • Security
            • Audit
            • Audit
            • Deserialization
        • Ldap3
        • Mariadb
        • Mysql
        • Mysqlclient
        • Neo4j
        • Openai
        • Peewee
        • Pg8000
        • Psycopg2
        • Pycryptodome
        • Pyjwt
        • Pymongo
        • Pymssql
        • Pymysql
        • Pyramid
        • Redis
        • Requests
        • Sh
        • Sqlalchemy
        • Tormysql
        • Urllib3
        • Webrepl
        • Wtforms
      • Ruby
      • Rust
      • Scala
      • Solidity
      • Swift
      • Terraform
      • Typescript
      • Yaml
    Security

    Deserialization

    Detected a possible YAML deserialization vulnerability. yaml.unsafe_load, yaml.Loader, yaml.CLoader, and yaml.UnsafeLoader are all known to be unsafe methods of deserializing YAML. An attacker with control over the YAML input could create special YAML input that allows the attacker to run arbitrary Python code. This would allow the attacker to steal files, download and install malware, or otherwise take over the machine. Use yaml.safe_load or yaml.SafeLoader instead.
    Likelihood: LOW
    Confidence: MEDIUM
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Avoid using jsonpickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data using json module.
    Likelihood: LOW
    Confidence: LOW
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Avoid using unsafe ruamel.yaml.YAML(). ruamel.yaml.YAML can create arbitrary Python objects. A malicious actor could exploit this to run arbitrary code. Use YAML(typ='rt') or YAML(typ='safe') instead.
    Likelihood: LOW
    Confidence: MEDIUM
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Avoid using pickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.
    Likelihood: LOW
    Confidence: LOW
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Avoid using cPickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.
    Likelihood: LOW
    Confidence: LOW
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Avoid using dill, which uses pickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.
    Likelihood: LOW
    Confidence: LOW
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    Avoid using shelve, which uses pickle, which is known to lead to code execution vulnerabilities. When unpickling, the serialized data could be manipulated to run arbitrary code. Instead, consider serializing the relevant data as JSON or a similar text-based serialization format.
    Likelihood: LOW
    Confidence: MEDIUM
    CWE:
    - CWE-502: Deserialization of Untrusted Data
    OWASP:
    - A08:2017 - Insecure Deserialization
    - A08:2021 - Software and Data Integrity Failures

    SqliPython ldap3 empty password
    twitterlinkedin
    Powered by Mintlify